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WSRD-Net: A Convolutional Neural Network-Based Arbitrary-Oriented Wheat Stripe Rust Detection Method
期刊论文
FRONTIERS IN PLANT SCIENCE, 2022, 卷号: 13
作者:
Liu, Haiyun
;
Jiao, Lin
;
Wang, Rujing
;
Xie, Chengjun
;
Du, Jianming
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/12/23
arbitrary-oriented
convolutional neural network
deep learning
wheat strip rust
detection
Advanced Application of Raman Spectroscopy and Surface-Enhanced Raman Spectroscopy in Plant Disease Diagnostics: A Review
期刊论文
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2021, 卷号: 69
作者:
Weng, Shizhuang
;
Hu, Xujin
;
Wang, Jinghong
;
Tang, Le
;
Li, Pan
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2021/05/06
plant diseases
RS
SERS
bacterial diseases
stress-induced diseases
fungal diseases
viral diseases
rapid detection
Updating Sacbrood Virus Quantification PCR Method Using a TaqMan-MGB Probe
期刊论文
VETERINARY SCIENCES, 2021, 卷号: 8, 期号: 4, 页码: -
作者:
Huang, Wei-Fone
;
Zhang, Yakun
;
Mehmood, Shahid
;
Wang, Zhengwei
;
Hou, Chunsheng
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2021/06/16
J. curcas
oil content
TAG
fatty acid
seed kernels
leaves
First Report of Erysiphe adunca Causing Foliar Powdery Mildew on Poplar in China
期刊论文
PLANT DISEASE, 2020, 卷号: 104, 期号: 8, 页码: 2291-2292
作者:
Wang, Yue-Feng
;
Hou, Xue-Yue
;
Deng, Jun-Jie
;
Cha, Xin-You
;
Li, Jia-Zhe
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/03/01
fungi
trees
powdery mildew
pathogen detection
Erysiphe
poplar
Terahertz spectral imaging based quantitative determination of spatial distribution of plant leaf constituents
期刊论文
PLANT METHODS, 2019, 卷号: 15, 期号: 1, 页码: 11
作者:
Zang, Ziyi
;
Wang, Jie
;
Cui, Hong-Liang
;
Yan, Shihan
收藏
  |  
浏览/下载:106/0
  |  
提交时间:2019/12/03
Terahertz imaging
Quantitative analysis
Plant leaf
Water content
Solid matter content
Gas content
Spatial variability
Plant disease detection
Quantitative visualization and detection of acetylcholinesterase activity and its inhibitor based on the oxidation character of ultrathin MnO2 nanosheets. Analytical Methods, Analytical Methods, 2019,
期刊论文
Analytical Methods, 2019, 卷号: 11, 期号: -, 页码: 4931–4938
作者:
Cai-Hong Li
;
Jun-Li Yang
;
Wei-Feng Wang
;
Won Keun Oh
;
Dang Lan Huong
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2019/11/11
Acetylcholinesterase
AChE–MnO2–OPD
Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense
期刊论文
Journal of Sensors, 2019, 期号: 2019, 页码: 1-13
作者:
Tian YN(田雨农)
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/01/06
optical sensors
deep learning
lesion detection
CycleGAN
DenseNet
YOLO-V3 model
Prevalence of wenzhu virus in small mammals in yunnan province, china
期刊论文
Plos neglected tropical diseases, 2019, 卷号: 13, 期号: 2, 页码: 16
作者:
Wang, Jinxia
;
Yang, Xinglou
;
Liu, Haizhou
;
Wang, Li
;
Zhou, Jihua
收藏
  |  
浏览/下载:113/0
  |  
提交时间:2019/05/08
Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense
期刊论文
JOURNAL OF SENSORS, 2019, 页码: 13
作者:
Tian, Yunong
;
Yang, Guodong
;
Wang, Zhe
;
Li, En
;
Liang, Zize
收藏
  |  
浏览/下载:96/0
  |  
提交时间:2019/07/12
Wireless multimedia sensor network for rape disease detections
期刊论文
EURASIP Journal on Wireless Communications and Networking, 2019, 卷号: 2019, 期号: 1, 页码: 159-
作者:
Zhou Libo
;
Huang Tian
;
Guan Chunyun*
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/23
Plant diseases
Object detection
Convolution neural networks
Filter banks
Rape diseases
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